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Participatory Strategies for Supporting Decision Making in Cultural Heritage Adaptive Reuse Interventions
No full textParticipation is a multifaceted process that has become increasingly popular in projects and scenarios where the needs of the community have to be included in the decision-making process. In the context of cultural heritage management, these approaches are essential to ensure that the perspectives of all stakeholders are reflected in the proposed strategies. This paper traces the participatory process employed in the design of new functions for Villa Carpeneto, a historic building in the metropolitan area of Turin, Italy. The objective was to involve local stakeholders in order to facilitate social learning and improve the legitimacy and effectiveness of the decision-making process. To explore possible scenarios for the reuse, the study adopted an integrated approach that combined several steps. It started with a historical review and an examination of the broader territorial context. This was followed by a participatory phase involving the local community. First, a workshop was organized to open a dialogue with local stakeholders. Later, a questionnaire was distributed to collect more structured feedback on possible future uses from residents. The findings highlight how involving communities in the decision-making process can support the sustainable reuse of heritage sites and strengthen the long-term value of shared planning
Adaptive-Gain Control for Equilibrium Selection in the Logit Dynamics
Full text linkWe study the problem of controlling evolutionary game-theoretic dynamics when agents follow sophisticated learning rules, in particular the logit protocol. Much previous work focused on settings where agents are less sophisticated learners following imitative protocols that leads to the well-known replicator dynamic. Here, we consider adaptive control schemes for the logit dynamics with the objective of steering the population to a desired equilibrium by modifying the agents’ payoff functions in a 2-action coordination game. Through the analysis of the controlled dynamics, we establish sufficient conditions for global convergence to the desired equilibrium. We find that the conditions to control the logit system have fewer requirements than those to control the replicator equation: Adaptive-gain controllers that are successful in performing their task in the logit system may fail in the replicator system. We then provide numerical simulations to illustrate and compare the amount of control effort needed to achieve the objective in the logit system versus the replicator system
Case study: An evaluation of the economic sustainability of energy communities across diverse business models and scenarios utilizing a cosimulation platform
No full textIn recent years, the role of the energy consumers has significantly transformed. Many residential users have transitioned from being mere consumers to prosumers. Prosumers can sell their energy surplus either to the main grid or to neighbors within an Energy Community (EC). The latter option can create a win-win situation for all parties involved. Most studies focus on potential future pricing and sharing mechanisms to enhance our understanding of future ECs. However, there remains a gap in tools that reflect the actual consumption patterns and the current state of ECs. Furthermore, it is essential to examine how current and future pricing structures may influence the decision to participate in an EC. To address these gaps, this work introduces a simulation platform designed to explore diverse what-if scenarios. Realistic and detailed consumption and generation profiles of potential EC members are modeled and integrated using a cosimulation approach. Scenarios are constructed incrementally to assess the impact of each component, enabling effective comparisons and helping identify the conditions under which participation in an EC becomes truly beneficial
LISA Drag-Free Attitude Control System: Robust Stability and Performance Analysis
No full textThis paper proposes a robust stability and performance verification of the Drag-Free and Attitude Control System (DFACS) for the Laser Interferometer Space Antenna (LISA) space mission. LISA is a space-based gravitational wave observatory, expected to be launched by the European Space Agency in 2034. LISA was formally adopted by ESA in January 2024 as the third large-class mission of the Cosmic Vision program, marking the transition from the mission conceptual design to hardware development. The mission features a constellation of three spacecraft exchanging bidirectional laser links to perform interferometry: they measure the relative distance variations between free-falling test masses located at far distances. Given the categorical need of obtaining precise measurements, the DFACS plays a key role, since it allows the test masses to move in free-fall conditions, rejecting at the nanoscopic level external disturbances and noises, which can compromise the quality of the scientific measurements. A fundamental issue in this context is to rigorously analyze robust stability and robust performance of the closed-loop system. Based on a previously designed DFACS, in this paper we address this issue by means of mu-analysis. The theoretical analyses are supported by an extensive Monte Carlo campaign, carried out employing a high-fidelity simulator. Both the theoretical analyses and simulations show that the designed DFACS guarantees the desired closed-loop robustness levels
HARQ Performance Limits for Free-Space Optical Communication Systems
Full text linkFree-space optical (FSO) communications represent an attractive technology for future
high-capacity wireless and satellite networks, offering multi-Gbps data rates, unlicensed
spectrum, and built-in physical-layer security. However, their performance is severely
affected by atmospheric turbulence, misalignment errors, and noise, which limit reliability
and throughput. Hybrid automatic repeat request (HARQ) protocols provide a powerful
mechanism to mitigate such impairments by combining forward error correction with
retransmissions. In this paper, we investigate the fundamental performance limits of
HARQ applied to FSO systems employing On–Off Keying (OOK) modulation. Using
information-theoretic tools, we characterize the achievable rate and the finite-blocklength
performance by resorting to channel dispersion, which plays a crucial role in quantifying
rate–reliability tradeoffs. We further examine the interaction between HARQ retransmis-
sions, turbulence-induced fading, and feedback delay, providing insights into the design of
low-latency, high-reliability optical links. This analysis highlights how HARQ improves
the robustness of OOK-based FSO systems and provides guidelines for parameter selection
in next-generation space and terrestrial optical networks
Predicting Link Quality in Industrial Wi-Fi Networks: From Classical Models to Lightweight Machine Learning
Full text linkL'abstract è presente nell'allegato / the abstract is in the attachmen
Secrecy Energy Efficiency Maximization in RIS-Aided Networks: Active or Nearly-Passive RIS?
Full text linkThis work addresses the problem of secrecy energy efficiency (SEE) maximization in RIS-aided wireless networks. Active and nearly-passive RISs are compared, and their trade-off in terms of SEE is analyzed. Considering both perfect and statistical channel state information, two SEE maximization algorithms are developed to optimize the transmit powers of mobile users, the RIS reflection coefficients, and the base station receive filters. Numerical results quantify the trade-off between active and nearly-passive RISs in terms of SEE, with active RISs yielding worse SEE values as the static power consumed by each reflecting element increases
Hybrid floating wind-oscillating water column: A numerical analysis of the coupled performance using an aero-hydro-thermodynamic time-domain model
No full textA Tire Temperature Adaptive Extended Kalman Filter for Sideslip Angle Estimation: Experimental Validation on a Race Track
No full textReal-time estimation of vehicle sideslip angle is essential for both safety and performance applications. This study presents a temperature-adaptive Extended Kalman Filter (EKF) that estimates the sideslip angle of a racing vehicle by integrating dynamic and kinematic information. A temperature-dependent Pacejka tire model, derived directly from track tests, is embedded in a 3-degree-of-freedom dual-track vehicle model and used within the EKF to compensate for temperature-induced variations in tire behavior. The adaptive model parameters are identified from standard on-track maneuvers conducted at different tire temperatures, without the need for additional indoor rig testing. Experimental validation on a race track demonstrates that incorporating tire temperature adaptation and combining dynamic and kinematic estimation significantly enhance estimation accuracy, particularly underow-grip and high-performance driving conditions attested by a reduction of 40–50% in RMS error and a further reduction in maximum absolute error